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Free recommenderSQL vs NoSQL Selector
Answer five questions about your data and get a database recommendation — SQL, NoSQL, or a hybrid — with the reasoning behind it.
SQL vs NoSQL, in plain terms
SQL (relational) databases store data in tables with strict relationships and support transactions and powerful queries — ideal when data integrity and reporting matter. NoSQL databases (document, key-value, wide-column) trade some of that structure for flexible schemas and easy horizontal scaling — ideal for huge volumes with simple access patterns.
Quick guide
- Choose SQL when you have related entities, need transactions, or run analytics — the safe default for most apps.
- Choose NoSQL for flexible documents, very high write volume, or globally-distributed scale.
- Go hybrid with PostgreSQL + JSONB (or add Redis) when you need a bit of both.
Frequently asked questions
When should I use SQL vs NoSQL?
Use SQL (a relational database like PostgreSQL) when your data has clear relationships, you need transactions, and you'll run complex queries or reporting. Use NoSQL when your schema is flexible or evolving and you need massive horizontal scale with simple access patterns.
Can I use both SQL and NoSQL?
Yes. Many production systems use PostgreSQL for core relational data plus a key-value store (like Redis) for caching, or a document store for a specific feature. PostgreSQL's JSONB columns also let one database handle both relational and flexible data.
Is PostgreSQL SQL or NoSQL?
PostgreSQL is a relational (SQL) database, but with JSONB it can store and index schema-less documents too — which is why it's a strong default for apps that need a bit of both.
Once you've picked a database, get the rest of your stack with the tech stack finder, or browse architecture guides.
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